{"id":209773,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00209773","sets":["1164:5159:10515:10530"]},"path":["10530"],"owner":"44499","recid":"209773","title":["LARS アルゴリズムを用いたスパース IIR フィルタの設計"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-02-24"},"_buckets":{"deposit":"32292210-b686-4807-b471-5624e7002922"},"_deposit":{"id":"209773","pid":{"type":"depid","value":"209773","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"LARS アルゴリズムを用いたスパース IIR フィルタの設計","author_link":["529721","529719","529722","529720"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"LARS アルゴリズムを用いたスパース IIR フィルタの設計"},{"subitem_title":"Design of Sparse IIR Filters Using the LARS Algorithm","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"SIP2","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-02-24","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"広島大学工学部"},{"subitem_text_value":"広島大学大学院先進理工系科学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Engineering, Hiroshima University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Advanced Science and Engineering, Hiroshima University ","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/209773/files/IPSJ-SLP21136035.pdf","label":"IPSJ-SLP21136035.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP21136035.pdf","filesize":[{"value":"1.8 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"22"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"0418738a-4ac6-4414-ad39-3399cc9d20bc","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"下崎, 友己"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中本, 昌由"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuki, Shimozaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masayoshi, Nakamoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10442647","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8663","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"スパースフィルタとは，ゼロ係数を含むディジタルフィルタである．フィルタ次数を冗長にしてスパースフィルタを設計することにより，同一乗算器数の非スパースフィルタよりも高性能なフィルタが設計できる．スパースフィルタの設計では，どの係数をゼロ係数に指定するかを探索する必要がある．この問題を解くためには，膨大な計算時間が必要となる．よって，本研究では，Least Angle Regression（LARS）アルゴリズムによって0となるべき係数を探索し，その後，Lagrange未定乗数法によって，非ゼロ係数を設計する．数値例では，非スパース等価フィルタと比較することにより，提案手法の有効性を示す．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"A sparse filter is a digital filter that contains zero coefficients. By designing a sparse filter with a redundant filter order, a higher-performance filter can be designed than the equivalent non-sparse filter with the same number of multipliers. In the design of sparse filters, we have to find the optimal selection of zero coefficients. In order to find the solution, a heavy computation is required. In this work, we employ the Least Angle Regression (LARS) algorithm to find the location of zero coefficients. Next, we apply the Lagrange multiplier method to obtain the non-zero coefficients under the condition that the zero coefficients are specified. we confirmed that the sparse filter designed by the proposed method outperforms the equivalent non-sparse filter with the same number of multipliers.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-02-24","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"35","bibliographicVolumeNumber":"2021-SLP-136"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T18:23:44.703086+00:00","created":"2025-01-19T01:11:03.669208+00:00","links":{}}